Evidence map›Paper›PMID 35678373›Full record

ArticleeLife2022

Towards a unified model of naive T cell dynamics across the lifespan.

Sanket Rane, Thea Hogan, Edward Lee, Benedict Seddon, Andrew J Yates

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. What Do We Know About Immune System Aging from Human and Animal Studies?International journal of molecular sciences · 2026
    Review
  4. Review
  5. Article
  6. Is Thymic Involution Truly a Deterioration or an Adaptation?Bulletin of mathematical biology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The dynamics and longevity of circulating CD4bioRxiv : the preprint server for biology · 2024
    Article
  16. Review
  17. Review
  18. Modeling T Cell Fate.Annual review of immunology · 2023
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Sanket Rane *Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, United States.
Thea Hogan *Institute of Immunity and Transplantation, Division of Infection and Immunity, UCL, Royal Free Hospital, London, United Kingdom.
Edward LeeDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, United States.
Benedict SeddonInstitute of Immunity and Transplantation, Division of Infection and Immunity, UCL, Royal Free Hospital, London, United Kingdom.ORCID 0000-0003-4352-3373
Andrew J YatesDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, United States.ORCID 0000-0003-4606-4483
Columbia University Irving Medical Center · USThe Royal Free Hospital · GBYale University · US

Funding

Modeling the development, structure and regulation of T cell memoryR01AI093870 · NIAID · UNIVERSITY OF GLASGOW · PI YATES, ANDREW · 2011 to 2025
$5.9M
Modeling the ecology of tissue-resident T cellsU01AI150680 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FARBER, DONNA L., YATES, ANDREW · 2020 to 2024
$5.0M
Medical Research Council MR/P011225/1NIAID NIH HHS R01 AI093870NIAID NIH HHS U01 AI150680
6 · The paper itself

Abstract

Naive CD4 and CD8 T cells are cornerstones of adaptive immunity, but the dynamics of their establishment early in life and how their kinetics change as they mature following release from the thymus are poorly understood. Further, due to the diverse signals implicated in naive T cell survival, it has been a long-held and conceptually attractive view that they are sustained by active homeostatic control as thymic activity wanes. Here we use multiple modelling and experimental approaches to identify a unified model of naive CD4 and CD8 T cell population dynamics in mice, across their lifespan. We infer that both subsets divide rarely, and progressively increase their survival capacity with cell age. Strikingly, this simple model is able to describe naive CD4 T cell dynamics throughout life. In contrast, we find that newly generated naive CD8 T cells are lost more rapidly during the first 3-4 weeks of life, likely due to increased recruitment into memory. We find no evidence for elevated division rates in neonates, or for feedback regulation of naive T cell numbers at any age. We show how confronting mathematical models with diverse datasets can reveal a quantitative and remarkably simple picture of naive T cell dynamics in mice from birth into old age.

Indexed as

CD4-Positive T-LymphocytesLongevityAnimalsCD8-Positive T-LymphocytesHomeostasisImmunologic MemoryMicecomputational biologyimmunologyinflammationmathematical modelingmousenaive T cellspopulation dynamicssystems biology

Identifiers

PMID35678373
PMCPMC9348855
OpenAlexW4281838386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.